Detection and classification of multiple power signal patterns with Volterra series and interval type-2 fuzzy logic system

作     者：Rahul Rajiv Kapoor M.M.Tripathi 

作者机构：Department of Electronics&communication EngineeringDelhi Technological UniversityDelhiIndia Department of Electrical EngineeringDelhi Technological UniversityDelhiIndia. 

出 版 物：《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制（英文）)

年 卷 期：2017年第2卷第1期

页      面：92-101页

学科分类：0820[工学-石油与天然气工程] 0808[工学-电气工程] 07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Non-stationary power signals Power quality(PQ) Volterra series Interval type-2 fuzzy logic system(IT2FLS) Power Spectral Entropy(PSE) Standard Deviation(SD) 

摘      要：The paper deals with the application of Volterra bound Interval type−2 fuzzy logic techniques in power quality *** work proposes a new layout for detection,localization and classification of various types of power quality *** proposed method exploits Volterra series for the extraction of relevant features,which are used to recognize different PQ events by Interval type-2 fuzzy logic based *** single as well as multiple powers signal disturbances have been simulated to testify the efficiency of the proposed *** time–frequency analysis results in the clear visual detection,localization,and classification of the different power quality *** simulation results signify that the proposed scheme has a higher recognition rate while classifying single and multiple power quality events unlike other ***,the proposed method is compared with SVM,feed forward neural network and type−1 Fuzzy logic system based classifier to show the efficacy of the proposed technique in classifying the Power quality events.